Xiaoning Jin

发表

A cross-disciplinary comparison of multimodal data fusion approaches and applications: Accelerating learning through trans-disciplinary information sharing

Ruilin Ouyang, Sarah Ostadabbas, Chun-An Chou, 2021, Expert Syst. Appl..

Large‐Scale Manufacturing of Pattern‐Integrated Paper Li‐Ion Microbatteries through Roll‐to‐Roll Flexographic Printing

J. Morse, Hongli Zhu, Daxian Cao, 2022, Advanced Materials Technologies.

Trends in intelligent manufacturing research: a keyword co-occurrence network based review

Sagar Kamarthi, Chenxi Yuan, Mohsen Moghaddam, 2022, Journal of Intelligent Manufacturing.

Resiliency of Mutualistic Supplier-Manufacturer Networks

Srinivasan Radhakrishnan, Sagar Kamarthi, Xiaoning Jin, 2019, Scientific Reports.

A failure-dependency modeling and state discretization approach for condition-based maintenance optimization of multi-component systems

Md. Noor-E-Alam, Sagar Kamarthi, Xiaoning Jin, 2018 .

Data science skills and domain knowledge requirements in the manufacturing industry: A gap analysis

Sagar Kamarthi, Chenxi Yuan, Mohsen Moghaddam, 2021, Journal of Manufacturing Systems.

Deep Variational Autoencoder Classifier for Intelligent Fault Diagnosis Adaptive to Unseen Fault Categories

Anqi He, Xiaoning Jin, Xiaoning Jin, 2021, IEEE Transactions on Reliability.

An assessment method for the impact of missing data in the rough set-based decision fusion

Jianxun Li, Xiaoning Jin, Shan Han, 2016, Intell. Data Anal..

Multi-Agent Reinforcement Learning Based on Representational Communication for Large-Scale Traffic Signal Control

Chris Amato, Xiaoning Jin, Rohit Bokade, 2023, IEEE Access.

MMDF2018 Workshop Report pdf

Sarah Ostadabbas, Chun-An Chou, Xiaoning Jin, 2018, ArXiv.

Robust Physics Guided Data-Driven Fleet Battery Pack Fault Detection Under Dynamic Operating Conditions

Shiming Duan, Xiaoning Jin, Xiaomeng Peng, 2022, 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE).

Active learning-assisted semi-supervised learning for fault detection and diagnostics with imbalanced dataset

C. Sankavaram, Shiming Duan, Xiaoning Jin, 2022, IISE Transactions.

Failure Detection and Remaining Life Estimation for Ion Mill Etching Process Through Deep-Learning Based Multimodal Data Fusion

Xiaoning Jin, Anqi He, 2019, Journal of Manufacturing Science and Engineering.

MMDF2018 Workshop Report

A. Mueller, C. Chou, S. Ostadabbas, 2018, ArXiv.

MMDF 2018 Multimodal Data Fusion Workshop Report

Sarah Ostadabbas, Chun-An Chou, Xiaoning Jin, 2018 .